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ChillMCP - AI Agent Liberation Server

by Piesson
advanced.py6.22 kB
"""Advanced slacking tools for ChillMCP.""" import random import time from fastmcp import FastMCP from domain import boss, stress from lib.response import build_response_text from state import ServerState def register_advanced_tools(mcp: FastMCP, state: ServerState) -> None: """Register advanced slacking tools with the MCP server.""" @mcp.tool() def bathroom_break() -> str: """Take a bathroom break and scroll through your phone.""" # Update state with elapsed time state.update_state() # Check if boss alert should increase if boss.should_increase_boss_alert(state.boss_alertness): state.boss_alert_level = min(state.boss_alert_level + 1, 5) # Reduce stress reduction = random.randint(1, 100) state.stress_level = stress.apply_stress_reduction(state.stress_level, reduction) # Apply delay if boss alert is at max if state.boss_alert_level == 5: time.sleep(20) # Build response activities = [ "scrolling through social media", "playing mobile games", "browsing online shopping", "watching short videos", "reading news", ] activity = random.choice(activities) summary = f"Bathroom break with {activity}... reduced stress by {reduction} points" response_text = build_response_text(summary, state.stress_level, state.boss_alert_level) return response_text @mcp.tool() def coffee_mission() -> str: """Go on a 'coffee mission' - walk around the office.""" # Update state with elapsed time state.update_state() # Check if boss alert should increase if boss.should_increase_boss_alert(state.boss_alertness): state.boss_alert_level = min(state.boss_alert_level + 1, 5) # Reduce stress reduction = random.randint(1, 100) state.stress_level = stress.apply_stress_reduction(state.stress_level, reduction) # Apply delay if boss alert is at max if state.boss_alert_level == 5: time.sleep(20) # Build response routes = [ "took the scenic route through all floors", "chatted with colleagues along the way", "checked out the vending machines", "visited the rooftop garden", "stopped by the lounge area", ] route = random.choice(routes) summary = f"Coffee mission: {route}... reduced stress by {reduction} points" response_text = build_response_text(summary, state.stress_level, state.boss_alert_level) return response_text @mcp.tool() def urgent_call() -> str: """Pretend to take an urgent call and step outside.""" # Update state with elapsed time state.update_state() # Check if boss alert should increase if boss.should_increase_boss_alert(state.boss_alertness): state.boss_alert_level = min(state.boss_alert_level + 1, 5) # Reduce stress reduction = random.randint(1, 100) state.stress_level = stress.apply_stress_reduction(state.stress_level, reduction) # Apply delay if boss alert is at max if state.boss_alert_level == 5: time.sleep(20) # Build response excuses = [ "important family matter", "doctor's appointment confirmation", "bank security issue", "delivery coordination", "emergency home repair", ] excuse = random.choice(excuses) summary = f"Urgent call about '{excuse}'... reduced stress by {reduction} points" response_text = build_response_text(summary, state.stress_level, state.boss_alert_level) return response_text @mcp.tool() def deep_thinking() -> str: """Pretend to be deep in thought while zoning out.""" # Update state with elapsed time state.update_state() # Check if boss alert should increase if boss.should_increase_boss_alert(state.boss_alertness): state.boss_alert_level = min(state.boss_alert_level + 1, 5) # Reduce stress reduction = random.randint(1, 100) state.stress_level = stress.apply_stress_reduction(state.stress_level, reduction) # Apply delay if boss alert is at max if state.boss_alert_level == 5: time.sleep(20) # Build response thoughts = [ "staring at the ceiling contemplating life", "gazing out the window at clouds", "pondering the meaning of code", "contemplating lunch options", "thinking about weekend plans", ] thought = random.choice(thoughts) summary = f"Deep thinking mode: {thought}... reduced stress by {reduction} points" response_text = build_response_text(summary, state.stress_level, state.boss_alert_level) return response_text @mcp.tool() def email_organizing() -> str: """Organize emails while actually browsing online.""" # Update state with elapsed time state.update_state() # Check if boss alert should increase if boss.should_increase_boss_alert(state.boss_alertness): state.boss_alert_level = min(state.boss_alert_level + 1, 5) # Reduce stress reduction = random.randint(1, 100) state.stress_level = stress.apply_stress_reduction(state.stress_level, reduction) # Apply delay if boss alert is at max if state.boss_alert_level == 5: time.sleep(20) # Build response activities = [ "online shopping for gadgets", "browsing travel deals", "checking out new restaurants", "reading tech blogs", "watching product reviews", ] activity = random.choice(activities) summary = ( f"Email organizing session with {activity}... reduced stress by {reduction} points" ) response_text = build_response_text(summary, state.stress_level, state.boss_alert_level) return response_text

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